Unit 3: Ch. 13 Flashcards

1
Q

statistical results and interpretation

A

the statistical results of a study, in and of themselves, do not communicate enough meaning

statistical results must be interpreted to be of use to clinicians and other researchers

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2
Q

aspects of interpretation (6)

A
  1. credibility and accuracy of the results
  2. precision of the estimates
  3. magnitude of effects and importance
  4. meaning of results
  5. generalizability of results
  6. implications of the results for practice, theory, and further research
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3
Q

credibility and accuracy

A

credibility: is it believable?
accuracy: validity of the tool used to collect the data

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4
Q

precision of the estimate of effects

A

precision is the exactness of results. Communicated through “p” values and confidence intervals (CI)

p value is the probability that the results are due to chance

  • p value < 0.05 means that there’s less than 5% chance result happened by accident
  • usually something less than 0.05

CI gives you a p value and a range in which most of the results will fall
-often give an OR

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5
Q

magnitude of effects and importance

A

bigness of an effect; how big the effect is from the intervention (ex: did a tx cure a little bit or did it cure all cases?)

considered especially important in clinical decision making

clinically significant: important clinically

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6
Q

generalizability of the results

A

whether or not you can apply what was found in the study to other groups

apply the results from the sample to the population

aka external validity

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7
Q

implications of the results for practice, theory, and further research

A

theory implications, clinical implications, research implications

typically giving you ways the results can be used

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8
Q

inference and interpretation

A

interpreting research results involves making a series of inferences
-inference: act of using logical reasoning to draw conclusions from limited information

we infer from study results the “truth in the real world”

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9
Q

the interpretative, critique, or critical mindset

A

approach any research article with a critical and even skeptical mindset

show me! Expect researchers to provide strong evidence that their results are credible
-in other words, it’s true

don’t believe everything you read
-not all research articles are credible or true

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10
Q

credibility of quantitative results (4)

A
  1. proxies and interpretation
  2. credibility and validity
  3. credibility and bias
  4. credibility and corroboration
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11
Q

proxies and interpretation

A

proxy: when one thing is used to represent or substitute another thing
- ex: concepts like love, hate, anxiety require a proxy for measuring them –> come up with questionnaires to measure and describe these
- must be careful with reliability and validity

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12
Q

credibility and validity

A

Validity: tool measures what it purports to measure

4 types of validity:

  • statistical conclusion validity
  • internal validity
  • external validity
  • construct validity
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13
Q

statistical conclusion validity

A

accuracy of relationships between variables that have been determined via statistics

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14
Q

internal validity

A

degree to which it can be inferred that the tx, and not a confounding factor, was responsible for the outcome

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15
Q

external validity

A

aka generalizability

application of findings to others who are similar to the people in the sample

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16
Q

construct validity

A

degree to which a tool really measures the construct under investigation

17
Q

credibility and bias

A

looking for things in articles that might slant results

18
Q

credibility and corroboration

A

authors were writing about looking for confirmation external to the article by comparing these results with results from other studies/articles

corroboration: looking for consistency across different studies and whether or not those studies found the same thing as the study you’re looking at

19
Q

corroboration

A

looking for consistency across different studies and whether or not those studies found the same thing as the study you’re looking at

20
Q

CONSORT guidelines

A

reporting guidelines developed so readers can evaluate methodologic decisions and outcomes

the consolidated standards of reporting trials (CONSORT) include a flow chart for documenting participant flow in a study

  • CONSORT guidelines show you the final sample size in a study
  • should be showing you where researchers got their samples from and why people were eliminated from the research
21
Q

meaning of results (5)

A
  1. causation
  2. going beyond the data
  3. internal validity
  4. generalizability
  5. other situations regarding results
22
Q

meaning of results: causation

A

just because 2 variables were related and statistically significant doesn’t mean one caused the other

correlation ≠ causation

23
Q

meaning of results: internal validity

A

reader must be confident that the tx and not some other variable caused the outcome

24
Q

meaning of results: generalizability

A

reader must be confident that results can be applied to other populations and groups

25
Q

meaning of results: other situations regarding results

A

non-significant results provide no evidence of the truth or falsity of the findings

serendipitous results (“happy little accident”) - when the researcher finds things they didn’t expect to find

mixed results - when some hypotheses in the study are supported and others are not
-if some hypotheses are supported and others are not, you need to look at the methodology of the study –> may be something wrong with the way the study was conducted

26
Q

the null hypothesis in interpretation is…?

A

that the results are wrong and the evidence is flawed

27
Q

the research hypothesis is that the…?

A

evidence reflects the truth